Joint space measurement in centric occlusionbetween panoramic temporomandibularjoint radiography and cone-beam computedtomography: a comparison in patientswith clicking disorders
Bibliographic record
Abstract
AMA Farrah Diba S, Gracea R, Ratna Shantiningsih R, Rahman A. Joint space measurement in centric occlusion between panoramic temporomandibular joint radiography and cone-beam computed tomography: a comparison in patients with clicking disorders. Journal of Stomatology. 2023;76(4):265-270. doi:10.5114/jos.2023.133645. APA Farrah Diba, S., Gracea, R., Ratna Shantiningsih, R., & Rahman, A. (2023). Joint space measurement in centric occlusion between panoramic temporomandibular joint radiography and cone-beam computed tomography: a comparison in patients with clicking disorders. Journal of Stomatology, 76(4), 265-270. https://doi.org/10.5114/jos.2023.133645 Chicago Farrah Diba, Silviana, Rellyca Sola Gracea, Rurie Ratna Shantiningsih, and Aulia Azka Rahman. 2023. "Joint space measurement in centric occlusion between panoramic temporomandibular joint radiography and cone-beam computed tomography: a comparison in patients with clicking disorders". Journal of Stomatology 76 (4): 265-270. doi:10.5114/jos.2023.133645. Harvard Farrah Diba, S., Gracea, R., Ratna Shantiningsih, R., and Rahman, A. (2023). Joint space measurement in centric occlusion between panoramic temporomandibular joint radiography and cone-beam computed tomography: a comparison in patients with clicking disorders. Journal of Stomatology, 76(4), pp.265-270. https://doi.org/10.5114/jos.2023.133645 MLA Farrah Diba, Silviana et al. "Joint space measurement in centric occlusion between panoramic temporomandibular joint radiography and cone-beam computed tomography: a comparison in patients with clicking disorders." Journal of Stomatology, vol. 76, no. 4, 2023, pp. 265-270. doi:10.5114/jos.2023.133645. Vancouver Farrah Diba S, Gracea R, Ratna Shantiningsih R, Rahman A. Joint space measurement in centric occlusion between panoramic temporomandibular joint radiography and cone-beam computed tomography: a comparison in patients with clicking disorders. Journal of Stomatology. 2023;76(4):265-270. doi:10.5114/jos.2023.133645.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".